AI & The Future of Work Webinar Series

Okay. Uh, okay. I will share a screen. Okay. Okay. Okay. I think anybody [snorts] Okay. technical officer. She will join a little bit later. I think repeated collaboration by Google for entrepreneurs and Mercy Sky. Diversity and inclusion. for Yes. Equal participation of women across our all our activities. Uh breakdown participation specialized actor. Skye to increase the revenue. >> [snorts] >> Uh what we do we contribute The tax employability interviews, technical trainings already knowledge economy, collaborative, proactive, inclusive and fun community. It's It's a good thing to be part of our community. Uh learn more about GSGR code. Community accountability reporting mechanism. feedback. Okay. Yes. Okay. video. Telegram Share screen entirely. Share screen entirely. Okay. Presentation. Okay. I will stop sharing. Okay. Three different departments programming individuals programming and nonprogramming market accessual individuals programming and nonprogramming department, Python, Django, cyber security, networky programming languages. We keep up with the trendy AI programming department. Digital marketing, digital illustration, sales, game development, how to use AI without coding, to upscale market access connections. Advis overseas advisations departments I Okay. Yes. for Fore Mercy car. for Sky Geeks. forch. Electron. Okay. Thank you.

So income Fore you're with us? >> Sure am. >> Hi. >> Yeah. Okay. So, uh from this part on we will be speaking in English and uh yes. So uh guys for everyone the session is recorded. Uh I would like you all to meet Colin. Colin will be delivering the session today. Thank you very much Colin. We really appreciate your efforts in this uh series of webinars. And uh for everyone who is uh here with us this is only the first webinar of the series. So we will have another two later this month and next month inshallah. Uh so Colin the mic is yours. Uh you can introduce yourself and continue with delivering the session.

>> Sure. Thanks very much uh Lisa. Thank you for the introduction and thanks for everybody who's taken the time to come and join the session today. I've just looked at the attendee numbers. That is now my official record for the most people I've had on one of my webinars. So really appreciate people showing up. [laughter] >> We we I I really appreciate us being a part of your record. >> Yeah. No, for sure. Um so a little bit Lisa said this is the first of a three part. So this is uh there's not going to be anything too technical in here. This is really an overview of sort of how I'm seeing um AI adoption, what people are doing with AI. And I think that captures it nicely there. There's definitely threats. There's a lot of disruption, but I think most importantly, there's opportunity. Um apologies for obviously me needing to be speaking to you in English. Um, I will try not use too much UK English slang. If you want to interrupt me at any time, ask a question. I'm very happy to take questions right during the middle of what I'm saying and I will be around as long as people want to afterwards uh to talk about this important topic.

So, a little bit about um myself. So, um, I'm a UK company director and CTO at Liberty Tech. Um, I'm also a security consultant. I work in the UK with a number of customers around the world helping them build secure software. Um, I've worked previously with a lot of big companies. I've written a book on API security. I've been doing this for a long time. And I would I would say I was thinking about about this when we joined. You know, obviously the length of my career, I've seen some hugely transformative changes in technology. I'm uh giving my age away a little bit here, but I'm old enough to remember when the internet didn't exist. And I don't think we can now foresee a world where we had no internet, where the internet didn't exist. Um, and I will say without any fear of contradicting myself, uh, the advent of AI and large language models and how they change how we work is by some considerable margin the biggest uh, impact that I've seen in my career. Um, and also not only the impact that it's having, but also the speed that this is happening. So, just a heads up, I wrote these original slides about 3 months ago. I updated them two weeks ago and I checked them again this morning and I made corrections and updates. So, things literally change. A week is a long time in the world of of AI. Um, that can be quite daunting. That's also to me very exciting.

Uh, just a note on how I got involved with Gaza Sky Geeks. I got pulled into a meeting with Gaza Sky Geeks in early 2025 uh as an idea to take on a single intern and where we are now today. Uh you know this is now the third event I've done with uh Gaza Sky Geeks or with Teams from Palestine. I employ um out of my own money I employ a Palestinian based in Ramla. Um and we have just taken a intern from the University of College of Dublin uh who originally hails from Gaza City. So um yeah quite a journey for us as well and really proud to be part of this.

Um, this is a personal slide that I put in here. I sort of thought back and forwards about am I going to put this in here or not? But I wanted to to put this in and capture that you know for me this uh there's two things here. one is so my commitment to the people of Palestine to help them is is is deeply felt. Um, you know as I said we we started this and I I wasn't sure what we were going to be doing but now it's it's simply part of who I am. Uh I grew up in South Africa in the 1980s in a very divided time for the country. Uh we had a very if you know the history of South Africa it was deeply divided. Um we were on the verge of civil war. We were had Russians on our border. Um it was a very difficult time for us. Uh and I I remember the value of my education. It was sort of that that thing that I found that was what my future was going to be. It was centered around my education. And I had a most wonderful professor at my university uh who in my final year we were we actually being teargassed by the South African police on campus and we were barricaded in our theater and he said to us said no matter what the future holds, no matter what challenges you face, focus on your education because that will set you free. And I still remember that's well I won't tell you exactly how long but it's a long time ago. Um, and I can I I still remember exactly that scene. Right. So your education is what is going to um you know obviously it's going to be your your future.

Uh, and this is an amazingly exciting time to be in this in this space. So I'm just going to put this up out front. There is going to be quite a lot of news that is going to seem quite alarming. you know, the impacts that AI or LLMs are having on the job market is profound and it's going to, you know, it's going to continue to be to be that way. So, I'm not going to sugarcoat anything. I'm trying to I'm definitely optimistic about the future. Um, but it is going to mean that we're probably going to change uh the way we are working, right? There's a lot of jobs that have simply disappeared and there's this range of I heard Lisa are saying about um you know learning the new stuff or or some alluding to the the modern trendy languages and really AI is just accelerating that massively. Um, so hopefully in the next two sessions we're going to do a very developer focused one next week. Uh, I'll show you all the the cool stuff that I'm doing with AI and what my my my team is doing with AI. And then the next one is for people that are not technical. Um, and actually the world of marketing and content creation is probably being disrupted almost more than the development world.

So you know the headline figures of of where we are with AI now. So um you know 78% of organizations now use AI in one function. I mentioned I'm a consultant with I'm working with the company in uh in France, the global company and I've only been with them four months and we've now gone from where four months ago they had a few developers using AI. Um whereas now every single part of their company is using AI, marketing people, sales people uh are are using AI in part of their business. Um the majority of the world is now using generative AI believe it or not 71%. Um the amount of money that is being invested in AI is breathtaking. Umund I think that number is now out of date. I mean you have a look at the rounds that anthropic are raising. You look at the investment that um Elon Musk is making with SpaceX into this um and that's the prediction of the number of jobs that are going to be displaced. And obviously that is um that is somewhat alarming.

So while adoption might be moving ahead at breakneck speeds um what is happening is that um organizations are making the change but it's not really disrupting how they are doing things. They're still reliant on people. Um a lot of organizations have adopted a lot of tools. What I see is people buy, you know, and I'm I'm victim of this myself. I've got subscriptions to all of the main frontier model providers. I'm using all of the tools. I'm just learning conductor today, how to run my agents. Um, but has that necessarily disrupted how people are doing their jobs? And the the data sort of doesn't indicate that that's the case. Um, people are are still putting out the feelers, still working out uh how to do this. And there's also cases where a lot of Gen AI pilots aren't producing a cost benefit, right? Because these things are starting to using generative AI also brings its own costs. Um, and it it's it's hard to show how this return in investment is happening. And I think a lot of people are um, you know, maybe overestimating the the actual impact that it's having. it clearly is going to have impact but not not immediately.

So where's this hit? who who most affected and I would say uh anybody who's doing admin admin or data processing are are now feeling that right customer support people uh data entry any kind of telemarketing um lead processing lead generation sales activities those those kind of market that can almost certainly now be be automated with AI right we're all familiar with you know job boards we we don't have we hardly have recruitment consultants anymore now because AI can do a lot of that. Um, and then what we're going to see coming now, we're heading into that now that's obvious that that's happening is any kind of knowledge work. So particularly junior developers uh people who are writing marketing copy graphics designers if people have used the new GPT images too that's out um that produces you know better artwork than than I've ever seen in my career. Uh, and it you know can do it instantaneously. So those those type of roles are going to be massively affected. And then you know being being honest we are going to see this impacting the legal industry. Uh, the legal industry is one of the the biggest early adopters on this. Um, people are building custom models to handle uh legal financial queries. I do all of my uh medical research. Uh, I think is it open AI now have a a medical product. Uh, and then obviously we doing my my co-founder my wife and I we do a lot of our research and work on on claude right so um yeah it's going to be interesting now where we are seeing uh the most changes obviously in entrylevel tech jobs and I keep an eye on the job market and even for myself as a seasoned graduate and obviously veteran of the industry Indry um it's just apparent that there are far fewer jobs in the market. There's less chatter. There's less noise about jobs. Um, and I and I think particularly on the entry level I often get people and I've I have been you know inundated with people approaching me in the last 18 months saying do you need a JavaScript developer on your team? Um, and it these things from me just being honest as an employer, it's very hard to justify uh why we would make that investment.

Um, so it's it's a it's going to be the game here is is going to be about changing how you market yourself. Um, and I often use this term and this does come up. Um, you need to become AI first. You need to be thinking about uh if even if you are not using AI in your job, bear in mind that the people that you're likely to be working for are using AI, right? And you need to be enabled and know how to fit in with their workflows. And here we have this great paradox. So any said we're being impacted at the junior level and what we now see in job ads is we say we we're looking for somebody with x number of years of experience. Um, but if you can't get a job in the first place, how are you um how are you going to get that experience? And I think my prediction is we're going to see a huge gap uh in in in years to come. And I don't think our industry is fully addressing this. Um, you know, I would not trust I'm I'm an AI optimist. I love AI. I was one of the early adopters. It's it's very much part of my flow, but I would not trust AI to replace everything that I do. I would never ship an AI product, right? So you always are going to need human beings in the loop to vet to understand the decisions that AI is making um as as well as it does in building websites and web apps. Um, we can't trust these things to be shipped and especially as a security engineer formally. Uh, this is just not something that I'm ever going to do. So, we're going to need these specialists and the problem is if we eliminating them at the junior uh level, um where are they going to come from? So, what this means is it's going to create an opportunity for people to step into these more senior roles, right? And I've I've got the I've got a the canonical example that I have for you as our in our employee that we have working for us and the transition that she's made within the last year in terms of where her career has gone. And that's what I'm wanting to to sort of enable you to do by some of the ideas and concepts that I'm going to talk about in this call.

Real companies and we'll look at cler in a moment. Kleiner is a finance company. So they were one of the very very early adopters. They had a dramatic headcount. They eliminated a huge number of roles and said they're going to build their platform with agents and they don't need people anymore. We'll see what happened with that. um Amazon, Salesforce, Durolingo, a lot of those type of roles that are eliminated are um what I would call them more those BDR type sales roles >> um that are are relatively prone to to being eliminated by um by AI. Um, and then of course some of the big the big boys now um Accenture and TCS um Accenture to CE and I also know that Deote in the Netherlands also had a a big round of layoffs. Now those sort of companies where they are employing um people to produce reports and if we know what those companies do they they management consultants those are very very prone to being replaced and I don't think uh that's necessarily a bad thing those companies have made huge fortunes selling consultancy services and that is exactly the type of thing that AI is is fantastically good at right so a lot of those people aren't creating value. There's nothing unique about what they do. And I want you to hold that thought in your mind. You need to bring something unique to the to the table. You're going to need to distinguish yourself to an employer. Um, and I and I'll tell you where um where I think that people of Palestine have a lot to offer in this regard.

So we've still got so the Kleiner case is actually a really interesting one. So they made a lot of cuts. They had to get lot rid of a lot of people and look what happened right they had to backtrack on this. They realized that um they hadn't uh they hadn't anticipated the impact this was going to have. They got lots of customer complaints right and they they started seeing this in their financials right they started uh getting a revenue impact. So they had to backtrack on a lot of this and I think this is typical. So I think people will go it's new and shiny. Let's adopt it. The real world impacts happen and then they have to undo. Okay.

So uh you know it it really isn't all all bad news. Uh people that will get hit is uh any kind of freelancers. So who's used I used to use Fiverr. This is this online thing where you can put out a job and you can you can ask for bids uh and people will do these jobs for you. Uh freelance writing I actually used to do this I used to write for and that work that I used to get there has all but disappeared. So keep focused on what are you going to bring that's unique right think of these opportunities think how you can diversify. Learn we talk about my my employee Zanab and what she's done uh and how this has worked for her. Uh outsourcing. So we talk about um this as well and I think this is where I'm really just reinforcing my own point here. Um, you know people of Palestine, you are not going to compete on on cost. I'd like to think about what you can do in terms of competing in quality. You have a number of distinguishing factors in your favor. You know it's a very young society. is very technically qualified. Um, and I and I think there's a there's a lot of opportunity um for you to fill in uh gaps between what would be conventional outsourcing uh and to be AI first enabled. Right.

So now we can take a deep breath. I'm seeing some of the comments here. I will come to those. I will answer those. >> Yeah, we have a lot of tearing emojis. >> Yeah, I see that. It it it does feel that way. I can I I can absolutely understand that and that's why and you know I'm not here to to frighten people. Um, you know we we um we have to face what is coming. Um, and and and you know part of what I'm wanting to do is now is is get a strategy. We're not going to go into the specifics of this in this this session but the next two if you're a developer or a content creator creative that's what's going to come there. [gasps]

Um, I think so some of the the positives that I would take about out of this is we only going to see an adoption if you look at the investment that's going into AI and AI companies right so if anybody tried to buy a computer lately has anybody tried to do a memory upgrade on a laptop right these this this stuff is not available at the moment the size of these data centers that are being built if you've looked at the Colossus data center that SpaceX has just just um enabled go and look at how much money is being spent on this. And those organizations are going to need people to run. If they're not running the factory on the floor, they are running the technology that's running that. So what you want to do is, as I said there, it isn't the end of the ladder, it's the end of the old ladder, right? We need to teach you how to step up onto, you know, where the where the game is moving. And that's basically it. I think there's going to be more investment. There are going to be I think net net there are going to be more jobs available right as we as we move uh as we move into whatever comes next and I'm I'm lying if I said I knew what that was.

So net jobs. So this is from the World Economic Foundation. If you if you believe everything they say um I would think that there's and it's literally echoing what I just said. There might have been 92 million jobs that were displaced, but there's 170 million that were created. And if you go and look at AI um the AI job market at the moment, uh if you go and have a look at what super savvy, very technical AI founders, the people that are going to join Anthropic, if you look at what those pay packets are in the US, there's people taking an engineering job that are getting paid over a million dollars, right? and that that demand for top talent is phenomenal. Uh, and even people who are doing you know relatively lower level jobs even good prompt engineers people who are creating AI based tooling um you know even there there's there's a massive um job market uh lift in that job market. Well, I've just said that.

So the AI premium I think um as I me I I'll give you an anecdote. I'll tell you my own story. So, I was doing security consultancy. So, this is software security. So, OWASP top 10 avoiding SQL injection. And I was doing that sort of consulting maybe two years ago. Uh, and now I'm doing um AI security consulting. I've almost just I've just rebranded myself as an AI security consultant. Uh, and what that's meant is I've just got, you know, I've got five times as many openings that I've had coming to me um based on that. It's simply because I've I've learned quick early on uh how to uh adapt to a new to a new skill. So um and I think the other thing is so not only a salary premium but also think of it as an accelerator and you're learning and you've all just come through university in or relatively early on in your careers. Um your your ability to learn something new now is has never been higher or the ability to do that has never been higher than than ever. I mean I'll give you an example. Uh, I am currently working out how to uh I can't tell you too much about what it's for, but I needed to do a proof of concept on an Apple on an iOS phone and I needed to build a screen capture unit. I needed to prove that I can capture live video from a phone and I can do a check some of the screen grabs. I've never wr I've never written an iOS app. I can't read Swift code. Um, I can barely use Xcode. Um, and using uh codeex I was able to uh do this within 3 hours and actually prove it out get it working. Now if id had to do that from first principles uh that would have taken me weeks to do right. So, I think a lot of this is going to be about finding opportunities, finding openings, finding things that uh people um aren't doing. And I think I've got a slide on the solo entrepreneur. There we go. Yeah. It's almost like I've read these slides.

So this is um the billiondoll company of one person. Um if you go and look at some of these companies and you have a look how much revenue these and cursor is the one. So cursor this was the slide that was out of date. is um so I was one of the very early adopters of cursor. So cursor is a clawed code before claude code existed. Um, and I've been using cursor now probably for three years. It was founded by four I think they were from in Boston somewhere four young kids and a literally 22 year old. They built this company and they've just been acquired by um Elon Musk, SpaceX, $60 billion they've been acquired. All right. So though they all the the chap the CEO is the youngest multi-billionaire. So this is possible, right? You you can literally create your own your own product, right? And that means obviously you you you're not going to be employing whole teams to do this for you, but that gives you the opportunity to to become an entrepreneur. So it swings and roundabouts. And I think that comment from Amod on the chat there, that's scary and great at the same time. Exactly that. And I, you know, are you glass half empty, half full? I've I've always been optimistic. Um, and I I I think if I were to characterize my career, I've always tried to anticipate what's going to come next. Um, and then try and move where that is going.

Um, I just want to talk about because I'm I'm realizing I'm speaking to people in the early part of their careers who've not seen this. Now, I I used to when I was in South Africa, I was working for the, you know, for the, wrong side. I was on the wrong side of history in South Africa and I was building uh communication systems. I was building um encryption devices and secure radios for the South African military and I used to be a circuit designer. So if anybody's ever knows what a circuit board is, I built circuit boards. I designed circuit boards and in my 20s I suddenly started seeing um circuit board designers that had um an autorooting capability. So you didn't have to lay out the circuit board by hand. Uh, you could have a router that would lay out the circuit board. And all my friends, we used to sit and say, "Well, well that's it. Our career is finished. we're never going to we're never going to find a job. Um, circuit board design is is going to be done by computers and you know people were saying we need to ban the use of you know autorooting tools and that you do hear these these things that people say um, you know ban AI. Well firstly how you going to do that. Um, and secondly you're really missing the you're missing the point. Um, and here I am 20 something years later and I've had five different careers in between that then now and then. Right. So uh and that's just simply done by being inquisitive by not not ever sitting back and and expecting to be you know presented with an opportunity. Um, I I I get that I had a lot of good fortune in my in my life. Um, but it is just amazing when I think back about how things have changed and I'm afraid they're going to carry on doing that.

Um, so Zanab is our absolute superstar of a developer. Uh, she's recently moved to Ramla in the West Bank. She's been with us since probably about a year now. Yeah, that is it's probably slightly less than a year. and she's helping us build uh privacy apps with AI. Now when we hired her, she had a background from Bzite University. She had a background in machine learning and AI. Um, in that time, she's primarily on her own with AI, built two apps for us. And we've now moved her to a supervisor architect role. We we're giving her ownership of product. we're saying you go and research this, use AI and I became quite insistent uh way back when that that she adopt this she adopt AI she used this um she uses in her day-to-day coding um we often talk about you know approaches we busy embarking on how we scale AI because I think this is going to be another one of the bottlenecks and we talk in the developer session next week about this is every individual can work well with AI. We've probably got subscriptions to these various platforms. We've experimented with coding and we've seen what it can do for us personally. But I think the gap to move into, we spoke about going to the next thing is understanding how you work in an AI enabled organization. So while she might be using AI to write code, the the next problem we have to solve is um how do we put that into a review process? How do we make sure that she can give me her work? I can also using AI use that to perform reviews. So that's where we're starting to think about how do you uh move from an individual contributor to understanding how to use AI efficiently uh in a in a company because that is so if I were to pick something that would be one of the areas that I'm going to see as a huge growth opportunity become an an AI an AI engineer right enable companies to be able to work with AI and the beauty of all these tools they're all free uh sorry the tools that we would be using to orchestrate. You can all go and build um solutions using more or less free tools. And I think that comment there, you know, she's not in San Francisco, she's in Ramlad. Well, that's exactly it. Um, it doesn't matter where uh where you are.

Uh, I did see a comment. I didn't read the um I'm just looking through just pause while I read this. So the problem is that I think that uh organizations, people living in Palestine, and I'll be I'll be honest with this, it's very hard to find these opportunities. It's very hard. You you'll get dropped lost in the noise. Um, if you go on to X and you look about what people are doing, it's easy to feel overwhelming. It's it's like you're drowning in a tsunami of people starting up with ideas and building products. Um, I don't think that's the real that's reflective of the real world. Clearly there are people doing very well for themselves with AI, but they're the exception rather than than the rule. And I think the biggest challenge that that people have and I know I'm going to I know what I'm going to say now because um it's very important that you become very as visible as possible. So I'll share my contact details. Connect with me on LinkedIn. Um, produce your own content. This is really important. Have opinions. Have ideas. Um, and I know you you early on in your career and you feel like you're not entitled uh to have strong opinions on things. Um, that's so if I were hiring and I were to be looking for somebody, I will pick somebody that's got an opinion, has got an attitude, has overcome adversity, uh, and and all of these thing. And that's why, and this is not me um what's the word trying to um be over optimistic here. This is my own experience of seeing the the attitudes of people that we've had uh with with Zanab. Um, just simply just a drive to to want to to learn and to move and to to better herself. Um, and I and I I think we really need to be thinking this is what you know Gaza Sky Geeks is giving you this opportunity. I've been on webinars where we've been promoting the value of of Palestinian talent in the UK to encourage people to hire. Um, but I am going to I wasn't going to do this because um I didn't think this was a great thing to say but I'm going to I'm going to say it now. If I were hiring um and I had a choice between a junior developer in the UK and a junior developer in Palestine, I'd pick somebody from Palestine every single time. Right. The the reason is that um and I I also think that people are going to get really hit by this is a lot of people who are used to working in very safe environments like the UK where they have very high salary expectations, they expect quite a lot in life. Um, you know, yeah. So I've said what I've said what I wanted to say. Um, you know, I'm I'm one of those people. I'm used to a comfortable standard of living. Um, those people are going to find things I think pretty hard, right? Because it's going to be it's going to be very difficult to see how they wouldn't be being displaced on mass. Um, so I hire for attitude. I wouldn't necessarily hire for skills. So if I were to be interviewing somebody, I would be I would ask them questions like um and we can we can put this as a poll question. Actually, if people can start putting answering this in the poll, you know, how are you using developers? Um, how are you using developers today? How are you, sorry, how are you using AI as a as a developer today? What are you doing? Do you have a learning plan? Are you thinking about what is the next one year look like in my learning? Um, so if you want to start answering that, um, give that some thought. So yeah, Zanab is is absolutely awesome. Um, we're going to be delegating more supervisory roles and I've always said to her, you know, whenever hopefully she doesn't uh we don't part ways anytime soon, but when she does, she's going to come out of this with a with an absolutely phenomenal um CV. Uh, and to close that point on the UK job market, you know, it's a it's a CV that would way exceed um people of of similar um experience in the UK. Yeah.

So the question is um what are you and I know we've got a development and I don't want to focus only on developers. I see that comment. um how are you using AI right now and and more importantly what do you think where do you see this going in three months that that's quite how quickly these things are are moving um so remote work AI is um and I appreciate this is you know I'm I'm preaching to the converted you already know that you you are likely to use. I saw comments about uh you know the job market in in Palestine at the moment. Um, this is your advantage as much as as far as the challenges are are there. They are overcome. Um, and I I'll give you our anecdote myself. I will say that when my wife came to me and said, "We're going to speak to these guys at Gaza Sky Geeks." I just thought, well, how how will this work? You know, will they be connected? Will they have uh good connectivity? Do they have computer resources? Um, what about the language barriers? And I would say that, you know, we've overcome these. It's not always been easy. I've been very mindful. I'm in the process of putting together a a blog post or a guide for the the the UK employers guide to hiring in Palestine, right? Because the you know the reality is that it's not always easy. Things don't always work where you absolutely understand the challenges that uh you face. Um, but it's about communicating that, being honest about that, um, and then leveraging that to your advantage. You know, we've had people that when I've when I found out what they've been dealing with and the fact that they're still producing the output that they are is is phenomenal, right? So, you're going to win um, I'd say in my case, you win our our loyalty. you win our respect um by your attitude. Um, yeah, so that's you know that's all I can say. So use that as your superpower and uh use the fact that you have people in in my case in the UK there to help you, there to promote you. Um, I'll give you my contact details. I I I'm going to guarantee you that certainly not 120 people. I won't be able to respond to everybody but I'm very happy to connect with people. I mean this is kind of what we what we do. Um, and also the window of opportunity. So this is all about the fact that at the moment the global north you what we consider the western world is obviously accelerating the the use of of AI. They are the predominant AI users. you know, it's really time to uh to close that gap uh to be able to um you know, carry on adopting that that that use of AI and close out that gap you because only you can be can be leading your transformation and your change.

Um, so the the downsides and let's sort of recap now and then I I want to I want to take questions um because I I know I'm going to get loads of questions. So, entry- level roles, um, that path is being broken. There's going to be a big gap there, right? That you're going to need people who can step into that gap. Um, you know, I wouldn't ever I wouldn't ever suggest that you be untruthful in your CV, on your resume. Um, but be be prepared to step into that gap, push yourself into those those kind of roles. Um, AI output is wrong. Uh, it's insecure, it's shallow. We all know know this, especially if we're writing code with it. I think it is still at this stage overhyped. Um, but I'd be very careful of relying on that as a strategy for your long-term career. Because we've seen what uh if anybody followed the debacle with anthropic and mythos and fable recently u you know that rate of uh of change and improvement in these uh tools is is is pretty sensational. and you know you are facing uh challenges that that that others don't have um in terms of payment infrastructure I would say just feeling from my perspective I think thing it is easier now and I I don't I'm taking I'm just my view is it feels easier to be employing people in Palestine now than it did a few years ago when we started on this I wasn't sure if it was legal to be sending money you know the the a lot of these things have been overcome. Um, I will guarantee that there are going to be net new jobs. There are going to be more jobs created due to AI than than taken. But the jobs are going to be different. Right? I guarantee you just look at the amount of money that's as long as the AI bubble doesn't burst. I think you know we're all hoping that that's the case. um we're all um you know we're likely to see far more uh jobs than than have been taken. And if you can distinguish yourself and differentiate um you're going to really get a premium on that. You lose the geography agnostic. You're no longer bound to where you are and um you have a a gap to uh to step in there.

>> Um, okay. So common I think I'm seeing a lot of uh different questions from different participants regarding not being a developer. >> So maybe we can talk more about the other professions that we have the other careers that we have and how would AI actually affect them.

>> Um, so let me give you an anecdote and I'm not sure if my my wife is on the the the call. Um, my wife comes from a background is she? Yeah. >> Yeah. I think she but she went in uh in so bad's name his name. Yeah. >> Well, I'll keep an eye on my WhatsApp in case she tells me to to keep quiet, but I'll I'll tell you her story because it is quite Yes, she is. Yeah. It is quite it is quite inspiring. Um, my my wife comes from a I can't remember what you should know what she studied, but it certainly wasn't computers. It was um Oh, anyway. Um, she's studied a non-technical degree, psychology. There we go. >> That's why she's been able to cope with me. Um, so, [laughter] um, she studied a non-technical degree and then when we were married a few years ago, she kept getting, uh, interested in, uh, you know, what I was doing and and and the kind of things that I was doing. And she, uh, learned to, uh, you know, basically has taught herself. I'm not suggesting everybody's going to be able to go and do this or wants to do this, but she's been able to teach teach herself technology. So, she now understands how applications are built, how they work. And I remember and here's a thing is less than 3 years ago um that she was busy trying to build the first concept of the web app using bubble. People, anybody who remembers what Bubble is, it was one of these rapid platform development tools that allowed people to with non-coding expertise to be able to code. And she's gone from um using um Bubble and really battling with this to quite recently um she uses Claude all the all the time. She's on that all the time doing market research, doing content generation, doing competitor an analysis, etc., etc. And she recently needed to translate something from a call that she was on. And she got, um, Claude to teach her how to install Whisper as a local model and run Whisper and transcode something using that. And that's self-taught. So, and I'm not saying that everybody needs to go and be a developer. Um, but again, that's closing those gap for people that aren't technical to be able to uh and I I cover this a lot in the third part. And it's being able to work closer with your um with your developers so you can speak their language, you can learn what they're doing, you can understand your market better. Um, and then on the on the upside, content generation. Um, and I know I talk about this in the third slide. If we all we all experience the hype that was open claw and now Hermes agent where everybody could run their own personal agent on their desktop. If you are a creative and you are producing content um, you know AI is going to dramatically shift that but for the better because you can simply turn out high quality content um at a reduced effort for you right? So if you can find the opportunities and the opportunities are there for high quality content um, you can be creating those more professionally and you can reduce your workload so you can take on uh more work on that. Um, Lisa, is that enough on that? Because I know we we've got a whole section and I'm I'm struggling to remember what else but I I do cover that in quite a lot of detail in the third.

>> Yeah. No, I think you covered everything. Yes. Uh great. Shall we take uh let's take a few of these questions because then I'm nearly done with the slides. So the fable thing is an interesting one. So um >> yeah. So everyone is curious about your why was it taken back uh down. Yeah. So a lot of people say politics. Some people it's our our friend in the in the White House at the moment. That's primarily what it is.

>> Um, it's a political thing. So some some while back so both anthropic and and open and open AI are both working on the next generation frontier models right obviously and I think mythos I think what happened around mythos was real I think they produced a model which when they started doing the safeguarding um and the the deep testing on it they genuinely became quite worried at what it was doing. So there were two things that happened. One is um so I've used FreeBSD for like 20 years. FreeBSD was one of the original um BSD distributions. It was always considered this the most secure. Um, FreeBSD I don't think has had a a zero day exploit in many years. I think it's considered safe the current versions. And what happened was um they gave it to Mythos to go and review and they came back the next day or few days later and they had a look at what Mythos had done and not only had it discovered the the vulnerabilities but it also written an exploit and exploited it and then got busy and started trying to patch it. Um, and that nobody expected that to happen. And then the other thing that they were seeing was a lot of the safeguards that they put in on the model front ends to prevent it doing things that it shouldn't. Like they'll remove um and I've had this with running um even GPT5 in my um Hermes sandbox. I've asked it to connect to a machine and check my disk usage and it hasn't had the right tool. And then what it does is it discovers, well, I've got SSH and it just SSH is into the other box and starts digging around on the other box all on its own. So even if you're trying to protect these tools and sandbox them, they're getting clever enough to work around this. And that genuinely becomes quite concerning uh that the the machines, the computers are becoming, you know, clever. They're doing what a human would do. And that's really what worried them with mythos and that's why they dropped Mythos. So then they tried to produce um Fable which was a kind of half measure but with improved guard rails and then Amazon discovered that security researchers at Amazon discovered that you could circumvent the guardrails. Um, and that's when the White House got involved and pulled that model.

Um, but the answer there is typic is, um, pretty much that Anthropic weren't playing nicely with Trump. Um, so, so, um, you know, he's used this as a, a stick to beat them with. Um, but the other problem Anthropic are having at the moment is they also have a lot of capacity constraint. So if people have been using Opus 4.8, right, um, as far as I'm concerned now, that that model is becoming increasingly stupid. I'll have it where on a given day it'll just, it becomes, you know, almost unintelligent and unusable. Um, so this is also one of the things that's going to happen is people are going to race to embrace AI and then what's going to happen is there are going to be bottlenecks. There are going to be performance degradations. People are always are still going to need humans to operate the machines, right? Um, just be thinking about how you, how you move into becoming that human.

>> Should we just finish the slides and then take?

>> Um, yes. But one, uh, common question actually that I noticed, uh, in the chat box that, uh, >> can we actually get those, uh, slides? So can the park those slides?

>> Yeah, I didn't mean, I meant to. That's a good, good segue here. So, um, yes, absolutely. Um, what I'm also going to do is this is, you know, the, the, the fluffy pretty slides. Um, the slides ironically were made by Perplexity. Um, and I will give the slides available, but I will also be putting a, a deeper text. So when I've referenced things or or market research, I'll put a like a PDF with all the details. Um, but what I'm also in the process of doing is I'm busy building out a website now on, um, becoming an AI AI developer and then people will have access to that. Um, and if you follow me on LinkedIn or find me, I'll update that in time. But certainly in the short term, I'll make these available. Um, but I am building out more content on this topic and particularly around how to accelerate. And that reminds me, so the one thing that I didn't put in the slides was, um, I've mentioned find a a niche and I, I think it's on the next slide. Let me just get to that one.

So there's the plan.

>> Mhm.

>> Um, find a niche topic. Um, and what I would, obviously my background being a security engineer, security is going to be one of these growth topics, absolutely for certain, guaranteed it's going to grow. There's going to be more demand. So even if you've studied, uh, as a front-end developer and you wanted to build mobile apps, be thinking about how you become security aware. How do you understand how to build secure applications? Because those jobs are going to be, um, a, um, a distinguisher for you. They're going to give you a niche, right? So, um, think about how you're going to do that. I would say, you know, the, um, the, the tools, uh, well, you know, I think we're probably all doing number one, right? We're all mastering the tools. Keep your eye on the job market. Uh, understand what, um, you know, what people are doing, what the industry is doing. Um, and, um, then think about, um, where AI can amplify you. And even if that in the short term becomes something like how do you market yourself better? So there would be, so somebody asked there, where, where do I get started? What can I do? Um, start thinking about how you use AI to boost your profile, right? How do you, how do you [clears throat] boost your, uh, your GitHub profile? How do you, um, improve your interaction on heaven forbid X or, um, um, LinkedIn? How do you make that look better? You know, that's just a very superficial example of what that, um, what that might look like. Um, and then the other one, I've always been a believer in this. Uh, if I get a resume, if I get a CV from somebody, uh, I don't read the CV, but if I see a GitHub profile and they'll go straight to that and have a look what they're doing. So build in public. Get involved in a, in a project. Pick something fun. Pick something like, um, Open Claw or Hermes. Go and contribute to that. Um, that's a very good way to, to, to get a brand. Build a portfolio. You, if you've got GitHub access, set up a pages. Put your resume on GitHub. Build it. Make it look, you know, make it look more professional. Maybe not, not, I wouldn't say lie, but make sure that you're getting and where you can get a reference from somebody, um, you know, those type of things are invaluable and then position is AI first. So it's use the tools, but not only use the tools as an individual capacity, but learn how to use them in a company. So right now, if I had an intern come to me and say they're looking for a role and they're using, um, agentic based development practices, using linear for issue tracking and, um, automatic GitHub pull requests, you know, and hire them because that's what the future is going to look like. Um, so, you know, I did see, I'm aware of, of, of a lot of the comments that I saw there. I, I get this. I get that this feels, you know, somewhat overwhelming, the, not only the challenges that that faces, um, but also the speed at which it's happening. So, um, and I think what's going to happen here is you're going to have a gap between what everybody can do and what good people are going to do. And I think, um, you need to learn how to be that good person. You need to become, you need to work out what excellent looks like. Uh, and you need to learn how to market yourself as excellent. Right? So, I'd say those, um, but being on that lower tier, I, I think, you know, you, you, I think you're in the, a bit of a firing line there for, you know, for challenges, um, just simply because the, the tools are going to get there very quickly. To you know, choose excellence.

So the, uh, that quote is, um, from, uh, back in the days of South Africa. It's when, uh, from a song called Boco by, um, Peter Gabriel. Um, you know, you can blow out, blow out a candle, but you can't blow out a fire. Take the, take the ideas, take the opportunities. Um, you know, thinking back to my childhood, um, just, just keep that desire to learn, to move. You know, the world is more unstable, more challenging now than, than possibly ever. Um, but also genuinely being optimistic. I think there's more opportunity right now. Um, and I'm not saying that's going to be easy. Um, but yeah, that's what I, I genuinely believe that I will, um, we can probably put teasers. What I'm going to tell you, what I'm going to talk about in the developers guide. So that's going to be all the tools, um, which I probably need to refresh those slides as well because that's changed. I'll talk about these things like, uh, how do you proactively use the tools rather than as an individual, but what does the team look like? I'm going to look at issues like security and vibe coded apps, um, and, and various things like that. And then in the third part, we look at, um, how to use AI as a, as a content marketing, uh, sales creative. And, you know, when I said that, I, I think I actually think that's probably where the biggest transformation is going to come. And I'm just looking at the company I'm working for at the moment, you know, their sales team, their marketing team are all wanting access to Claude code. They've all learned how to use Claude code. They are, they are writing extensions for. Somebody wrote a, a Chrome extension for what's one of these marketing tools? Um, Zenesk. That's a customer support tool. So, somebody wrote a, their own Claude code plug-in, sorry, own Chrome plug-in for Zenesk to pull their tickets. So, that's an example of how somebody who's not a developer, um, can get frustrated by something that they're doing in their job all the time and then implement themselves a solution.

I'm going to leave that up while I talk. That's how to get hold of me. Um, I've, uh, create, I've got a little, um, link tree type bio, um, with my details on that on the left. Um, that's my LinkedIn. I just see I've got an animation on the screen. I hope that's not going to mess up that code. Anyway, um, you can find me on LinkedIn. You know my name. So that's the end.

Um, Colin, I think you can share the slides and also those QR codes with me and we will send them in the email that we will be sending all participants.

>> Yep, absolutely.

>> So I'm going to, I'm just going to scroll back. So let me just put that on the main screen so I'm not looking away from you. Um, let me go and read the questions.

>> Um, guys, you are also very welcome to raise your hand and, uh, say the question if you would like. Open your mic and say the question if anyone has a question that they would like to, uh, ask right now. Okay. So we have Reena. I think because we already answered some questions from the chat. So I would like to give a chance to the people who will be speaking as well. Is that okay, Colin?

>> Yeah. Yeah, absolutely.

>> Okay, go ahead.

>> Hi everyone. Um, first of all, thank you for this webinar. It's been, uh, very informative. Thank you.

>> Sure. Uh, I have, uh, a question. Uh, do you think that AI going to develop in the future as the same right now, right, right now or the lack of resources will, uh, slow down the process? I think, uh, companies doesn't, doesn't have this much of ethics and policies. They use like a lot of environmental resources, water, and it affects the, uh, the environment. Um, I think it's gonna like lead to, to the disaster if it's not, uh, there's no, uh, restrictions.

>> Yeah. So that's, that's a great question. So strange, I didn't cover that. So I think what we're going to see is we are, while we are seeing this adoption and we're seeing the growth of data centers, what, what we're also seeing now, and this is very apparent, is we seeing the cost of tokens going up. Right? If everybody's used to using a, a paid, a subscription on Enthropic or Open AI, we're starting to see that the providers are starting to, you know, move to, um, API billing because they realizing that their computer centers are starting to cost them money. So I think what's likely to happen is we are going to see a [sighs] I'm not sure if we're going to see a slowdown, but we are definitely going to see a, that situation being addressed where they realize that, and, and remember all of the companies that are now valuing at billions of, I don't know, it's crazy numbers, none of them are making money. All these companies are still losing money, um, and somewhere along the line, we're going to have to redress that. We're going to have to balance that out. And now, whether that means that, uh, things have to slow down, uh, or they just have to keep growing the market, uh, I, I don't know. But if it means growing the market, that does work in our favor, um, because it means that the more AI skills you have, the more machine learning skills, um, the better for you. Um, but I think what you, you, you said there, and I, I, my sister's a, um, what's the word? An environment. I was going to say a tree hugger. A tree hugger is a, a hippie, an environmentalist. Um, and she's very anti, you know, she said we must stop this and, you know, go back to, I don't know, living in caves or something. But, you know, I don't know, somewhere in between the two, that there's a, there's a happy medium. But potentially we're in quite a, you know, this is quite a perilous time, um, in terms of the impact that this is having because it's, it's not insignificant now. It is, it is, it is massive. But I, I'll caveat that again, and this is my, you know, my, my positive and negative brain going on here, is what's going to happen is the, the improvements in efficiencies of these models, um, is also profound. Has anybody used GLM 5.2? Two, right? That's so that's the Z AI model. Uh, or use the new cursor 2.5 model? I'm not a sales person for either of those companies, but those are models that run at a tenth of the cost and cost being tokens of Opus and are about the same. So, you're going to see this balance, and I think this market is going to keep doing, we're going to swing from one side to the other. Um, and, and there's going to be this mass drive to efficiencies because where we become more efficient makes us more cost, cost competitive, uh, means we get a bigger share of the market. So, you know, I'm not an economist at all. Um, I'm, yeah, is humanity going to? So I don't know. I don't, [clears throat] don't know. Um, but it's a really good question. So who, who wants to go next?

>> Uh, thank you, Colin. Uh, we have Ahmed. We have two Ahmeds. Uh, Ahmed Abra and the other Ahmed, Ahmed.

>> Uh, thank you, actually.

>> Abas. Okay. Sorry. Yes.

>> Yeah. Thank you for this great lecture. So, uh, my question was about like a personal experience of me, like I noticed that the more I am adopting AI, the more I'm using AI tools, also I become like more lazy. I feel like sometimes I'm losing some part of my skills like that I used to have. Like for example, when I first started like working as a junior developer, I could like easily go ahead and read like three code files, each with like 2,000 lines of code. I could do this. Right now, I, I can't do this. For example. So, like for example, if I want to run like a, use a command to decide what port the Docker container is running on or something, I could do that. Now I, I have to ask the do this.

>> So, like how, how to balance between this two, like contradictions or paradox? Like the more you you use AI, you become more effective, but I feel like you're losing some kind of your skills or becoming more lazy, if you know what I mean.

>> I do. So, we should have had a prize for the best question because that absolutely wins the best question. So, let me congrat [laughter]

>> Let me tell you about my own, and you, you actually used almost the example that I, so I've just, so what I do, I've got a lot of my own infrastructure, my own servers and things, and, um, I often have to do things on them, and I'm not a Unix Linux person. I've used it a lot and I'm pretty probably very proficient in it. Um, but I can never remember command lines. I can remember which switch I had to use to do this or that. So now I install Claude, the TUI, the command line. And I install that on all the machines. And then I just go into the machine and I say, fix this. And even if I have to do like a Git command, like a Git com, Git to do something where I had to do a merge, a force merge, and I like, I can't remember how to do this. And that's definitely a factor because you become lazy. You do, I don't know if it's lazy. I mean, that's one way of looking at it.

>> I think it's more dependent.

>> Yeah. You are dependent. Yes. Yeah.

>> Um, and it's, it's also just, so the way I'm going to frame this is, um, I, I've learned to optimize. I'm like obsessed with trying to be. If I, if I ever used to, and this is a childhood problem I had, um, is if I ever did the same boring job like three times, I'd write a script for it. I'd write a bit of Python to do something for me. And this is how I see AI. I've realized that, um, I actually wrote a post on my blog site. I've got a post on exactly this. It's taken all this cognitive load, the thinking. It, it, it's allowed my brain to realize I don't have to learn Git. I don't have to learn Docker. I don't have to learn any of this because I, in a click of a button, I can just get that. The challenge there is if that were to go away and to be taken from me, I would now then be useless. I'd be, I'd be, I'd be learning how to do woodwork or something. I don't know what would happen. And it's the same as with, but to be, to be fair, there is an analogy. When we had the internet, and we first got the internet, and then you had the internet in South Africa, our internet was very, uh, slow, but also sometimes we'd have an internet cut and you wouldn't have internet for a week, and then I had to remember, did I write this down? Do I have a book? You know, so I think it's, it's that same thing. Um, I think that's a balance. I, I think I would see that as simply an opportunity to just don't see it as losing skills. See it as, as just using your brain to do something more interesting. Right? And, and when I spoke about, do something more valuable, do something that, um, other people can't do, right? Um, elevate yourself in the job. I know it's, it's easier said than done, but, and I, I spoke about that example about iOS app development. I knew I had to do this, this thing on iOS. And if I'd been trying to do that a year ago, I would have said, I can't, I can't do this. It's going to take me a month to do this. Whereas now, what I've been able to do, said to my wife is, I've said, I, I can do this like today still, right? So, um, I just used that as an accelerator. I didn't have to learn Xcode, this, that, Swift, anything. I didn't, I knew I didn't need to care. Um, but it's a valid point, and it's funny you used a great example. That's exactly what happens with me.

>> Okay. Thank you, Colin. Uh, Ahmed, uh, I hope the answer was very satisfying. Uh, I think now we have Ahmed Abu Rashid. Ahmed.

>> Yes, we can hear you. Go ahead.

>> I'm from Gaza. I study it in University of Palestine, but I'm specialized in video editing and motion graphic. Uh, for me, I had a very big gap because of the war. You can say about three years. I wasn't using my laptop. I didn't use my phone. It was a hard time for me. But I decided to come back. I was working as a freelancer before the war. Uh, so I had a big challenge to back to my field, but it was so hard because you can see the, the new development and the update of the, the tech. It's like you can say, as you said, it's like a tsunami.

>> Yeah.

>> It was a big challenge for me. Uh, I try to use, uh, the new, new tools of AI. Uh, it's a little bit was a little bit hard, but, uh, I teach myself. It's, uh, it's amazing, but it's a little bit, uh, scary. You can say it's start to be a competition. So my question is about the competition. Now it's in the, in the past, it was you competing with other other people that have in in the same field, and you competition with them to have the job or being better than them. Now it's like you are competing with the AI tools or the, you know what I mean, in the AI tool. So it's like a new competition, a hard competition because you are now try to convince the customer to why I choose you. I have AI tool that can do everything you can do. So what's make you better than the tool?

>> Also, uh, you mentioned the things about the senior and junior.

>> Yeah.

>> That's right. When, uh, when you have junior, but you, they can develop themselves.

>> How, how, how the, how the field will be more developed and how it will going to, sorry. So, it's, uh, it's a little bit hard to, to be upgraded or develop yourself, but I more competitive between between me and AI. But I think it's, uh, great because, uh, after I use it, it, uh, it make me more creative. I think you can say in the past, the tools or the programs that I want to use, it was needed, uh, a big hardware or I can, I mean, a hardware that can work to get you the the project. Like for me, I was, uh, working in project like 3D project or model, it need a, a very hard, it need a very improved test hardware. So the IT tools, it's, uh, make me, it's make it too easy. Like you don't, you don't have to do to your laptop or your mobile,

>> at the same time, and you can, uh, get your job done. And it's amazing for me because it's make you more creativity. It's make it give you more, uh, more space to be to to think more, more think more workless. You know what I mean? And, uh, the last things is about the subscriptions. It mean like if you want to learn AI, you have to pay subscription. You have to to pay for this website or for this website. So can use it. So can you learn from it? So can you develop yourself? So in this time of the world, while it's collapse, as you can see, it's so hard for people that don't have money, doesn't have the ability to live. So what's your opinion on that?

>> Yeah. Yep. So that's the final point is very valid. I hadn't anticipated that, but it is perfectly valid. Um, so, you know, firstly, um, thanks for your, your honest question and your experience. As I said, uh, you know, that's sort of, you know, that that sort of shows me the, the type of of of resilience and and fortitude, um, that I'm pretty used to, um, seeing. So that's a long career, um, gap, that's quite a big gap in your learning. Um, I think, so, Ismael in the chat there is actually kind of given the answer that I would have given. Um, so maybe he needs to win the win the prize, but you, you are, you still competing with people, but you're now competing with, I, I don't see it as necessarily competing with AI. You're competing with somebody else who's using AI. So the, you know, the cliche used to be, you know, AI isn't going to take your job, but somebody using AI is going to take your job. Uh, and I, I think that's the case. And I think what you're going to see is you're going to see as companies start to have problems, uh, rolling out AI initiatives, and we gave that example of Pler, as they as they start shipping vibecoded apps and they start having problems, they're going to realize that they actually still need people who know how these things work. Um, I think there's definitely going to be a squeeze there. There's definitely going to be fewer of those type of opportunities. The, the market is going to get much more, um, competitive. I don't know if I've got a, a great answer for how that looks like. And I think particularly in video and image processing, that's one of the most, the the places that are going to be most displaced. Um, and without knowing your, your full background, I would, and you, you appear to have the, um, the, the, the mindset for this. Um, but maybe think of a, a pivot to a, to an adjacent. Go and maybe think about doing, uh, maybe go and maybe focus more towards, um, you know, machine learning and, and, and, and I know that sounds really easy for me to say sitting in Liverpool. Um, but remember, you, you, you never going to be in a position where you can learn as quickly as you can now and faster than you, sorry, um, you can never learn more or as fast as you can learn now. But that does bring me to that point that you raised, and this is very valid, is, um, AI is costing. There's these, there's a lot of these tools that are, uh, you know, model providers. I don't know how many subscriptions I've got to various platforms and tools, um, and they're going to, they're going to start increasing in price. So people are going to have to become more selective. Um, not an easy question to answer. I know what a lot of people, if you go and see what the influences on X are doing, a lot of people are running their own infrastructure. Um, but that again, you know, requires very costly computers. Um, you know, I think this is going to be where we start getting resource constrained. And I would, I would hope that there are going to be providers who are going to subsidize to, um, more disadvantaged, um, regions in the world. I know my family, you know, my, my background is South Africa. We, we have much the same issue there that, uh, a lot of people there can't afford pro subscriptions to, to cursor or to, um, uh, you know, to Anthropic. And, and I'm, I hope that somewhere along the line, there will be providers who will subsidize this. Um, is a good point. I didn't, I should have researched that in a little bit more detail. Let me go and, I, I'll, I'll go and think about what that might look like. Um, and it may be that you, we, we have to see almost a two-tier where people will will be using the cheaper models, which aren't necessarily bad. They're just cheaper. Uh, and that might be what that ends up looking like. But, but thank you for, thank you for your comments and, uh, and that, all the best with, uh, with, with what you do next.

>> Thank you, Colin.

>> Sure.

>> Uh, we have Rosanne.

>> Thank you. Thank you for this insightful session. I really appreciate it.

>> Sure.

>> I have a question. Uh, please, from, uh, from your perspective, uh, will the future, uh, of work, uh, be more for the technical specialist using AI assisted, uh, development, or for product minded engineers who connect technology, AI, and business?

>> Okay, great question. So that's both. It's going to be, you're gonna be, so what's going to, where the market is going to be, um, hollowed out is people who are, um, my prediction would be who are technical but with very general skills. So I think either you need to decide, I'm going to go and be an a machine learning expert or a, a data scientist. Right? That's another, I know that AI is very good at doing data, but not necessarily the models of how to process data. So I think those deep skills like that, or anybody who really wants to become an infrastructure specialist, understand how to build platforms at scale, or as I said, my background, security, because that's a, a specialist skill. So that's the one hand. And then your other, remember what AI is not going to do, and at the end of the day, we are building product, we are selling product, not to AI, but we are selling product to people, right? And we have to, at the end of the day, we, we are all in a sales role. We all selling what we building if we're working for a company, um, and, and companies work with people, and successful companies are ones where people have learned to work well with each other. So focus on your, of those people skills. Um, learn how to interact because particularly as we become more AI centric, the ability to communicate and get your ideas across to people becomes more important. So interpersonal skills, relationships, and that's why I said get your LinkedIn, connect with me, write content, have opinions. Those things are going to be, be different. So I think it's, it's going to go both ways. I think that's how it'll split.

>> Thank you.

>> You're welcome.

>> Thank you, Colin. Uh, next, I think we have Muhammad or Sh Muhammad. Go ahead.

>> Hello. Thank you for the session.

>> Sure.

>> Um, I have a simple question, like if I've used a skill in multiple projects by the help of AI, should I add it to my resume as, as one of my skills already?

>> Yeah. Yeah, I think so. Yeah, for sure. Um, I, uh, for people who use Claude code lately, I, uh, I checked in a project the other day and I went and had a look at it, and I saw, you know, 80 commits and I thought, wow, I've been doing a lot of work here. And I had a look, and I wasn't a contributor to my own project. It was Claude code and committed all 80 commits. Um, I think that's pretty legitimate to do that. But what I would do is I would frame that. I would just say it in a different way. Don't say I built, uh, I don't know what I was talking about a Swift iOS app. Don't focus on the technology that you used to build that. Describe the thing that you built. So take it up a level. Talk about the problem that you solved. Talk about the lessons you learned. Talk about what customer problem it solved. Don't sell it like, I wrote 2,000 lines of Swift code. Sell it as, I built a, a privacy app for people in conflict zones. That's how I would change that. But absolutely, um, but be prepared for questions, obviously. I don't, be untruthful because I will always, you know, I'll always ask somebody, uh, I, I never do a technical interview, but I'll ask them, describe what this journey looked like for you. So, if you can tell a story of how you got Claude code to do something, my next question to be you would be, um, how did you test the code? Right? So, so, so those questions, but absolutely you can, I would say you're fine to put that on your CV, but just try and make it not about, I wrote this much code. Talk about what you learned and what problem you solved.

>> I get it. Thank you.

>> Yeah, you're welcome.

>> Thank you. Uh, and now we have Shaw and after that Annas Fali.

>> Hey, hi Lisa.

>> Hi.

>> Thank you for the session.

>> Sure.

>> Uh, thank you Colin. Um, we talk about, uh, the gap, um, and the career path soon junior to senior, it's break, okay? What's, what, what we need to learn more or how to find the new path, okay? You, we, we talk about the new path, but what it is? I feel sometimes I am stuck, okay? I, we can learn more, h, I'm agree with this, but what we learn? [clears throat] [gasps and laughter]

>> What's your background? What, what have you studied? You're engineer. I try to get a new job. Uh, I learn a lot of stuff in, um, more than one year. But still, I'm feeling stuck. Um, I try to find internship or any, um, job to enter the market, but I can't. Or try to learn AI. I work with the cloud, right? [gasps and laughter] I, uh, learn all, uh, technologies and texts, more y, but sorry, but I feel stuck. So how can I get out from this, um, state?

>> Yeah. Um, I don't have an easy answer to that. I'll just, I'll, I'll tell you how, um, you know, how my experience with employing, um, through Gaza Sky Geeks. Um, it definitely takes luck. Um, and I'm thinking, I told you the story about Zab there. Um, I remember when I, I looked at the resumes a lot, is the CVs. A lot depends on it. It, it, those type of things to get your first role, a lot of that is going to depend on luck, um, and I mean, I'm not going to, you know, I'm not going to say I'm not going to sugarcoat this, but, you know, you, you, you will, as you know, you, you, you will have to keep trying. Um, it will, you know, at some point circumstances will be, will fall in your favor. Um, I don't know if, if I'm honest, I don't know exactly what I'd describe as an immediate route to elevate yourself above people that you're competing with. Um, that is it. I, I don't have a, I don't have a good answer for that. I can, I'm going to think about if you're on the next one. I'm going to think about like, what does the entry level? Somebody who's done maybe three or four years of studying, what specifically does that look like? Um,

>> Okay. Thank you for considering.

>> Yeah. No, no, it's a good, it's a good question. I, I don't have a good answer for that. Ina in the case of Zanab and other people that we've taken on, um, and our intern, that, and I don't know if she's on this call as well, but, you know, the, I did the session in the UK, um, where I presented to UK, um, companies, and she connected with me on LinkedIn and just approached me and said she wants an internship, she's really good, and I thought, okay, and I got on a call and I thought, yeah, you know, she clicked, I liked, I mean, we've taken her on. So, it does take luck. It takes, um, maybe doing things that you're not too comfortable doing, but I mean, you've just come on the microphone and spoken to me now, so, you know, you've got, you've got confidence. Um, yeah, I, not sure if I can say if I can come out. Um, yeah, so, well, that is the answer. It is about personal branding and marketing yourself and, and that's easier said than done.

>> Um, but don't be, you know, don't be shy. You've got, you lit, you've got nothing to lose doing this. And I never did. So I, I tell you a quick, quick anecdote. So when I was a child, I was very shy. I, I just wanted to sit in my play with my computer and listen to music. And somewhere later on, I decided that I became really interested in cycling. And I did this. So you have this thing, what they call it, spin classes, where you have a class where they play music and you cycle, and I used to do these things obsessively, and I realized, I thought, I want to teach this, but I was like, unbelievably shy, like I couldn't speak, I wouldn't speak to people, like I'd just avoid people, and then I thought, well, I want to do this, so I had to learn to be, to lose my shyness, and what happened doing that, I then became a public speaker. I did a develop advocacy for Veraricode. I'll travel the world. I spoke on stages. I do these kind of things all the time, and that's just pushed myself out of my comfort zone.

>> So, so you didn't end up opening a spinning club?

>> No, I've got a, I've got a, maybe I shouldn't say this on a public forum, but I've got downstairs on my ground floor. I've got like a whole spinning studio with lights and big speakers and, you know.

>> Okay.

>> But it's still.

>> So you still, you, you pursued the thing that you like the most. So amazing. Yeah.

>> Yeah. But push those comfort zones, cuz all you're going to take is one.

>> You just got to convince one. I'm not trying to belittle that you've, you've been trying this, but you just need that lucky break.

>> Okay. All you need to do.

>> The problem is not in the path, in the career path, or what we need to learn more. The problem is networking, strategic, or something like.

>> Yeah. Well, we, that's what we, that's what we trying to do. Um, and I don't, I don't have, I can't solve this for you immediately, but this is why we carry on talking. This is why I carry on doing these type of events. This is why we, you know, whenever I go to anything in the UK, I'll talk to them about our story, our journeys with hiring, um, Palestinian talent. So, um, but think about how you're going to get it's a good, that's a good topic for a follow on. I'm not going to promise an easy answer to that, but, yeah, what does, what is that marketing? What would that look like? Cuz all you have to do, and I say all, that's sorry, that's not quite fair. You just have to lift yourself, distinguish yourself from, and that's that comment about branding. Have an, have some unique thing that catches somebody's eye. And I, I'm sorry. I'm not, I don't want to belittle, you know, the, the, the hassles you've had trying to to find this. Um, yeah, it's a good, it's a good question. I think that's something worth, uh, having, having me, having more thought about that. And I might just write like an idea of what I would look, what, what does a good CV look like, right? What, what stands out? Because it, that's all it, and, you know, I'm not minimizing this, but that is what it takes. It just takes one person to want to speak to you, and you know, your personality will come across, and people will say, you know, you spoke very passionately, um, that will, that will resonate with people. They will want to, they will want to have you on their team.

>> Yeah, thank you.

>> You're welcome.

>> Okay.

>> If you have any advice for me in this situation, I will be grateful. Connect with me and I'll, I'll, I'll talk to you.

>> Okay. Thank you. [laughter]

>> Thank you, Colin. And, uh, good luck, Shaw. Um, I think we have four more questions and I think that's the time that we have. So I.

>> Yeah. So let's go ahead with Annas.

>> Um, unless we can't quite hear you. Hi.

>> Hi. Yeah, go ahead. Uh,

>> Hi. My name is Anas, a data science and AI student. Uh, and I've worked before in NOS's. I noticed many people think that using AI means you're weak or not skilled enough. Uh, I faced the problem a lot. So how can we change this idea and help people see AI as a smart tool that supports work instead of replacing humanity?

>> Yeah, I, I think Annas is talking more about the old fashioned think way of thinking.

>> Like that you, you need to actually do the things yourself to be called excellent. So that's a good point and in particular, there's certain industries and I think like NOS's and we, we know from experience are still quite, um, old school. They're still thinking, you know, they, they are a little bit behind the, the curve in terms of and, and they, it's [laughter] it's a good point. So if you, if you came to a, let's try and think of a company, um, and you came to an interview where the company itself was a little bit, uh, AI wary, you know, they were a bit scared of AI, and then you told them, I'm an AI first engineer, they might think of, we don't, you know, we don't, we don't want them, that's not what we're looking for. Some organizations are still going to be looking for people with experience. They're going to expect you having done your five years at junior, then mid. And [sighs] I don't think that's going to change. There will still be jobs like that, fortunately for, for people. Um, I'm just trying to think what the, what the exact question was. So, um, how do you prove, how do you?

>> I always try to, uh, to see to show them the good side of the AI, but, uh, when you know that AI, they say you are lazy, you are.

>> Yeah, they like this.

>> Yeah, that's interesting. So I think there's still, and I think also from me, there's still in the security world, there's still a lot of people that say you shouldn't be writing software with AI. Um, I fundamentally disagree with that. Um, I think they, they may have a point, but it's simply not, I mean, if you have a look what, um, if you look at Anthropic or you look at the, they are building Anthropic are using Claude code to build the next Claude code. They, they've literally said they do not write by hand code anymore. So I think that perception is changing quickly.

>> I, I don't think there's, I don't think that's a reason to say I'm not going to learn AI because it's got a negative connotation. I think that's going to change. Um, but I think also don't, it's, yeah, you're lazy. No, just say you're more efficient. That's what I would say. I would, I wouldn't sell it that you're lazy. Just say you, you, you [clears throat] are you, you, you, you focused on efficiency and you focused on learning. AI lets me do that better. But sell it as a positive. That's how you would do it.

>> And I think Colin, if I may add, it's not an answer to, um, an question, but more of a statement. I think we went through that when we went from, you know, paper paperwork to, uh, everything digital. So I think just give it time. Uh, those, uh, you know, stereotypes will change.

>> Yeah.

>> And people will be more aware about AI and it won't be a very scary idea anymore. So I think it's just a matter of time.

>> Yeah. I mean, I, I remember, and this again shows how old I am. So when I started doing development, we used to program microprocessors with, um, assembly language. Does any, I don't know if, do, do they still teach assembly language? So it's like almost machine code. [snorts] And then I started to use a C compiler, and, and I got told literally that exact thing. They said, "Oh, you real, you know, real men don't use C. They write the assembly code." So, it's the, it's the same, it's the same thing, right? And here we are now. We don't even write C code anymore, never mind assembly language. If you want to, if you want a good fun thing to give AI, ask it to do something in Fortran or assembly language and see how good it is at that. Is it, is it good at all?

>> Yeah, it's astonishingly good.

>> Amazing.

>> Yeah, I, I think I'll try that after.

>> Yeah, I got it right for train. Thank [laughter] you.

>> Okay. Um, next we have Islam. Islam.

>> Hi everyone. Hey.

>> Hi. Uh, my question about the new trends of using AI like the local models. Like for example, shall I utilize time on learning them or it's just about, um, a waste of time and money as well?

>> Yeah, it depends. So if you've got compute that can run those models and it's not going to cost you too much electricity. Um, I, I, I don't know at the moment. So if we're looking at the top, uh, uh, open weight models right now, we're looking at things like Quen 3.7, GLM 5.2, um, and their [clears throat] performance is actually really, really quite good now. But to run the, the large models like the 405 byte par, uh, billion parameter models, you need something with like 512 gig of RAM, which, you know, we, we tend not to have, but that's changing. Um, I, I think if you're trying to do very simple things, so often I'll have, um, my, um, Hermes agent that I run, I have that doing very basic tasks like checking my infrastructure, turning my lights on and off. You don't want to, you don't want to know what all I'm doing with that. But things that aren't thinking, they, it's, it's processing. It's, it's just performing operations. Those work very well on Alama locally on my laptop. So, it depends what you're trying to do. If you're trying to write code, no, I don't think we're quite there yet, but I'd say we, we're closer now obviously than we've ever been. And that probably in six months time that will have changed. But let me tell you what I think is more important for you to know is understand how these models are working. You don't have to become an AI engineer, but understand how models are built, what weights are, what parameters are, what context is. Um, how do you choose one model against another, when to use which model, when do you need to use something with, uh, a lot of reasoning ability, and when do you need to use something that's fast? So, those are skills that are really easy to learn. You can do experiments, you know, with Alama. You can compare it to your subscription and see how these things, different things behave because that kind of knowledge. So, if I came, if let me give you an example. If I had somebody come to me today with

A CV that said, "Well, I've done that type of work." That's a huge plus in my book, right? Because that's showing a level of wanting to learn new things, understanding what the where the problem is moving. Because somewhere soon, tokens are going to start getting too expensive to just use the biggest model on all the problems. People are going to have to start thinking about how they break up their tech stack with AI. So if you could do something like that, or even make some experiments to learn about that, and even if you don't learn terribly much, write a LinkedIn post about that, build a little test harness in Python, put it on your GitHub.

Um, yeah, so I think I think what will happen. I mean, I can, I'm running, I've got a Nvidia Spark with 128 gig of memory, and that runs 70 billion parameter models quite well, quite usably fast.

"Thank you, Colin."

"Okay."

"Okay. Uh, we have two more questions. Uh, is that okay with you, Colin?"

"Yeah. Yeah. We might need like 5 to 10 minutes."

"Yeah."

"Okay. Um, Hammed, go ahead."

"First, I would thank Gaza Sky and Mr. Colin for this great opportunity. I have a question for Mr. Colin because, of course, he is an expert and I am a beginner. So the question is, how can I start learning as a beginner? So I already know that there is machine learning, deep learning, BI, agents. So, where shall I start or, uh, how can, what should I stay focused on?"

"Yes. So that's a good question. Now, I, I'm going to confess here, and this will show very nicely how, um, how strange this world is that we're working in now. So I'm also not at all, I know almost nothing about machine learning and, and, and the deep knowledge of, certainly not my background. You know, my background was as a hardware designer, then as a software person, then as a security person, and I only learned what I know now, um, about AI like in the last two and a half years. And it's very odd that I'm now having jobs where I'm a consultant and I'm working for companies where the [laughter] the CISO, the security, the head of security will say to me, 'We're really lucky that we have an AI expert with us.' And I'm like, and I look around, like, who are they talking about? Then I realize they're talking about me, and I don't see myself as that. But I, I think that's how, how, how strange this market is. And, and, and I guess part of where, where I've got the benefit of being old is that I've learned how to sell myself and I've learned how to sell my, my skills, and I haven't worried too much about not being an expert in that. I've just said that's what I do. Um, but that's not the question you asked. The question would be, um, I would probably learn the."

"Yeah, that that answer is good. You want to learn the fundamentals. Don't, a couple of tips that I'll give you. Don't focus on the cool things. Don't just look at the latest thing. You know, people are talking about what's the latest one on Claude Code. Uh, loops. Apparently, everything is now loops. So, you don't, you don't talk to your agent. You write something that talks to your agent for you. And basically, all that is is just marketing. It's not marketing. It's influencer hype. It's like, um, you know, the latest cool thing. And then everybody wants to do this. I don't know who here followed the open claw thing at the beginning of the year. This project where everybody went and bought Mac minis and tried to install this crazy piece of absolute garbage on their Mac minis and then got hacked and all sorts of things. And that's just a hype thing. So that question, um, you've answered that question really well there. Um, get the basics, learn the fundamentals. Um, build experiments, build projects, try and find a problem to solve. So I built something for a little project we did. I had to build an algorithm in C that could classify audio. It could detect noise. Um, somebody banging on a box or drilling. And I got, I knew nothing about, um, audio algorithms, and I got Claude code to write that for me in C. Then I got it to explain what it had done, and then I had a look at how the model is working. I benchmarked it. I had a look what things were computationally expensive, and now I can say, well, I know how audio processing works. It's not strictly true, but I learned that in like half a day. So, pick the basics, but then find something to, some, find some problems to solve. Come up with an app idea. Just make something, you know. I, I don't know. Just make, make anything that that springs to mind, and then just put the app, put the thing on GitHub, and then you've learned that, and that's the way to learn. I don't learn academically. I only learn by trying to do something. Um, but don't waste time on like the the trendy thing this week because next week it'll be another trendy thing. And people spend, and I mean, my wife will know this when I, the beginning of the year, I decided I'm going to do, um, you know, I'm going to become an agentic build expert, and I spent most of my free time trying to build open claw and get it debugged, and I just thought, my god, I've spent like two, two months doing doing no real work. Um, but as soon as you use it to solve a real problem, then you make, make progress. So, yeah, just go to that's good. Recommend start with the basics concepts and use it to build something and solve the problem."

"Thank you, Colin. I think we have one last question. Sorry, we're a little bit over time. It's 6:05. Uh, is, go ahead."

"Hello, everyone. Can you hear me?"

"Yes."

"Yes."

"Yes. Hello, everyone. Uh, thank you very much for this meeting. Thank you, Lisa, for hosting this. Mr. Colin, thank you for the precious information. Uh, we really appreciate it. Uh, I don't have a question, but I just want to say we are living in a time that we need to adapt to AI because it's just a tool. We can use it to, uh, advance our job and, uh, to become like more in, uh, what we are doing. I was following AI since 2020, and I'm really interested in it. Every single day, we have a new tech. We have new tools we can use it, and it's like, it's not like, uh, it's cheap. Like everyone can have it. There is a free version, there is like, uh, with tier premium, you can use everything you can have. And in, in, in the good thing, or the amazing thing, you can find it in every corner. Like, you are, uh, you want to like design, okay, a website, there's tools for it. You want to write a story, there is tools for it. You can build a whole YouTube channel based on AI agent. So AI is just like a tool. You can use it, but you need like to learn how to use it. You need to adapt with it. This is like the key for it. And, uh, thank you. Thank you very much. I really appreciate it."

"Yeah, you, you're welcome. I just seen your comment in the chat there, and I gave you 100 100% for that answer because that's exactly it. And the example I gave about my, my wife, that to me is the biggest indicator of how somebody that is entirely non-technical can now become building her own startup in, in like less than 3 years."

"And it wasn't, absolutely wasn't easy for her, uh, to do this, and there were a lot of struggles along the way, and I'm not minimizing anybody's, you know, hardship and challenges. Um, and I meant to say, somebody spoke about the new tools. I spoke about the seed compiler. Um, I mean, you know, when, when the printing press was invented hundreds of years ago, there were lots of people that used to write books by hand. They would write manuscripts with a pen, and suddenly there were a whole lot of people that were unemployed. And, you know, now we have books. So, and, and I know that's a, a trivial example, but that, that, that's these things, I'm afraid, this is just how it changes. I think maybe what we're having a bit of overwhelm here, and I did see when I saw the comments initially was it's not so much the, the, the actual change, but it's the speed of the change, and that, that's what maybe is overwhelming people. So [gasps] to what you said there, keep focused on, try and have a goal of what you want to achieve. Like, think about, I mean, I would say build your GitHub profile, build your LinkedIn profile, do some original content where you write your own ideas, tell a story, solve a problem. Don't get too fixated on just using the new technology because what's new now, next week won't be new anymore, and it'll become stale. Um, really focus on your relationships, focus on your networks. Um, and don't be, you know, just don't be shy. Don't be. People I know can see my LinkedIn now. Great. I'll, I'll come and connect with you all. Um, you know, you, you have, uh, you do have a, a hell of a lot going for you, and, uh, you know, we want to, uh, we want to see what we can do to help. Um, thank you, Colin, and thank you."

"Thank you very much. Thank you. Thank you."

"Um, Colin, I think you mentioned something about polls that you wanted to do at the end of the session. I'm not sure if that's the case still."

"Yeah. Well, I'm just curious as to, and the usual question I ask in these is, um, how are people feeling about AI, less or more optimistic? Do they see it as an opportunity or do they see it as a threat? Uh, would you like me to create a poll right now or?"

"Yeah, go on. Go on. Yeah, let's do that quickly. Uh, I think, uh, by in this time, we we still have one question from Retal. If you have time, Colin."

"Retal, if you would like to speak now."

"Yes. Uh, hello, everyone. Uh, and, uh, as a digital business administration student, what skill, what skills should I learn to keep up with AI developments and, uh, how can I use AI in my future job to add value to, uh, to a company?"

"So, just tell me what you're doing, digital business administration. What, what was the, what was the study? What were you studying?"

"Uh, digital, digital management business."

"Dig, okay. So, um, I think there, so obviously come to the third session because we covered that a lot. Think about how you can use AI to, um, I would think to automate a lot of what you're doing. So, um, and I'm, I'm just, I don't know exactly what you've studied and what your work would look like, but think about how you can use, um, Claude Cowork, Claude Desktop, um, sorry, Claude. Um, open Claude. Yeah, sorry, Claude. Um, how you can use that to automate what you're doing because a lot of that work that you're doing are things that can be, um, can be e quite probably quite easily automated. So, um, I mean, if you are doing, uh, contact with, with customers, or you're doing communications to your team, you start adopting AI to help you, um, automate as much of that as you can, and just become more efficient. I don't know exactly what, I don't know if you want to describe kind of tasks that you do. Um, but those things are are incredibly efficient to to get automated."

"Sorry if that isn't a great answer. If you want to come back and and tell me exactly what kind of day-to-day things you're doing."

"Thank you."

"Okay. You're welcome. [laughter]"

"Thank you, Retal. Uh, so I lost the question, and I'm not sure if, uh, I wrote the answers right, but it was basically, is it an opportunity or a threat now?"

"And I think by now we can see that a lot of people are saying opportunity. So I think."

"Exactly. [laughter]"

"Yeah. It's, um, the thing is, I'd say this is, we've always seen this. I've been doing this line. I would say to people, you know, I can't say don't worry, but it's always been like this. There's always been, I mean, the world is crazier now than, to be fair, the world is crazier now than than ever in my lifetime. But although I say that, probably, probably South Africa in the in the 80s are about the same, but, um, I, I just see, I just see the opportunity now. And if, you know, kind of if you don't, then, yeah, then then it is there. But what's hard is, it's, it's hard to know what it looks like. It's not predictable anymore. And I think that's what people are struggling with. It's the, the fact that they don't know what they, you know, 20 years ago, people would know, I go to college, I study four years, I become a junior developer. It was all mapped out."

"And now it's like, it just, that's just not there anymore. And that's hard."

"That is true. And, uh, also, if I may, may add, um, I think it's, if you can't really change something, and we can't really change what's happening right now. So none of us can just go ahead and stop AI. I think you can only change your perspective on it, the way you see it. So for those people who are still thinking it's a threat, I think that's what you can change. This is what you can actually change. You can't change the world. You can't change what's happening right now in the tech sector. So, yeah, maybe changing your point of view on it, your perspective, how are you approaching it, might actually help."

"Yep, agreed. It's why we're here."

"Yeah. And we're here to help you. Colin's here to help you."

"Okay. Um, I think we're, uh, done for today. Anything else, Colin, you, you would like to add?"

"No, just, uh, see you next week."

"Yes. Uh, we will have two more sessions, and, uh, yeah, keep posted on our, uh, groups on, uh, WhatsApp, on Instagram, so you can see the next, uh, sessions and you can apply to them. Uh, and I see Rebecca clapping, and I hope you saw, uh, Colin, how many, uh, hearts and clappings you got today from the participants. So, I think I, I can say this for everyone. We really enjoyed the session, and we really appreciate your efforts. It's an amazing topic, and it was amazingly communicated. Uh, thank you very much again for your help and your support for Palestinians in general, and for Gaza Sky Geeks in particular, and see you soon."

"Yep, Rebecca has to clap, but I appreciate the comments from everybody else. [laughter] We appreciate your effort as."